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ATAL
2005
Springer
14 years 2 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
CRYPTO
2005
Springer
110views Cryptology» more  CRYPTO 2005»
14 years 2 months ago
The Conditional Correlation Attack: A Practical Attack on Bluetooth Encryption
Motivated by the security of the nonlinear filter generator, the concept of correlation was previously extended to the conditional correlation, that studied the linear correlation...
Yi Lu 0002, Willi Meier, Serge Vaudenay
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 2 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
ISSTA
2004
ACM
14 years 2 months ago
Optimal strategies for testing nondeterministic systems
This paper deals with testing of nondeterministic software systems. We assume that a model of the nondeterministic system is given by a directed graph with two kind of vertices: s...
Lev Nachmanson, Margus Veanes, Wolfram Schulte, Ni...
PATAT
2004
Springer
130views Education» more  PATAT 2004»
14 years 2 months ago
Learning User Preferences in Distributed Calendar Scheduling
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
Jean Oh, Stephen F. Smith